{"id":"W6887174689","doi":"10.15468/dl.s8gm3t","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009921829,0.001987083,0.001597636,0.004973526,0.001057442,0.002573164,0.002758567,0.002146879,0.1629467],"category_scores_gemma":[0.006320082,0.0009038954,0.001266339,0.009076542,0.0004466095,0.002524118,0.002604692,0.00203003,0.2287654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159472,"about_ca_system_score_gemma":0.002349476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02122953,"about_ca_topic_score_gemma":0.03343894,"domain_scores_codex":[0.9989119,0.0001520607,0.0001329065,0.0003870974,0.0002361061,0.0001799628],"domain_scores_gemma":[0.9972826,0.0008068618,0.0002277366,0.0007342802,0.0006522365,0.0002962638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000028838,0.00001180726,0.0003710563,0.0004981182,0.00001290629,0.00001505867,0.00002251986,0.000118716,0.000112073,0.0003450339,0.9970497,0.001414158],"study_design_scores_gemma":[0.00007083892,0.0000095048,0.001886292,0.0001992503,0.00001380238,0.00003848816,0.00008115506,0.0001750769,0.0001926924,0.0007850691,0.9965294,0.00001850788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004670847,0.00002949684,0.00004764843,0.00004511413,0.00001466679,0.000006319592,0.998709,0.0004538241,0.000647292],"genre_scores_gemma":[0.0001699866,0.00003619457,0.0002106827,0.00005251339,0.000004242571,0.00004625159,0.9988117,0.0001602415,0.0005082518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8370533,"threshold_uncertainty_score":0.5451111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}